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It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations to support knowledge discovery and broad applications.
A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi. 2019 · 1904
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Roberta: A robustly optimized bert pretraining approach
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Kg-bert: Bert for knowledge graph completion
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Shaoyun Shi, Hanxiong Chen, Min Zhang, and Yongfeng Zhang. 2019 · 1910
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Do animals have beliefs?
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Wordnet : an electronic lexical database
Christiane D. Fellbaum. 2000 · 2000
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. J. Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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A frustratingly easy approach for entity and relation extraction
Zexuan Zhong and Danqi Chen. 2020 · 2010
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Introducing the knowledge graph: things, not strings
Google. 2012 · 2012
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Modifying memories in transformer models
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, and Sanjiv Kumar. 2020 · 2012
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Webchild: Harvesting and organizing commonsense knowledge from the web
Niket Tandon, Gerard De Melo, Fabian Suchanek, and Gerhard Weikum. 2014 · 2014
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Leveraging linguistic structure for open domain information extraction
Gabor Angeli, Melvin Johnson, and Christopher D. Manning. 2015 · 2015
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Harnessing deep neural networks with logic rules
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H Hovy, and Eric P Xing. 2016 · 2016
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Commonsense knowledge base completion
Xiang Li, Aynaz Taheri, Lifu Tu, and Kevin Gimpel. 2016 · 2016
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Explicit semantic ranking for academic search via knowledge graph embedding
Chenyan Xiong, Russell Power, and Jamie Callan. 2017 · 2017
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Comet: Commonsense transformers for knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Çelikyilmaz, and Yejin Choi. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Commonsense knowledge mining from pretrained models
Joshua Feldman, Joe Davison, and Alexander M. Rush. 2019 · 2019
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Knowledge-driven encode, retrieve, paraphrase for medical image report generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu, and Eric P. Xing. 2019 · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, and Sebastian Riedel. 2019 · 2019
Cited alongside, same era.
Commonsense properties from query logs and question answering forums
Discos: Bridging the gap between discourse knowledge and commonsense knowledge
Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, and Bin He. 2021 · 2021
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Do language models have beliefs? methods for detecting, updating, and visualizing model beliefs
Peter Hase, Mona T. Diab, Asli Çelikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, and Srini Iyer. 2021 · 2021
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P-adapters: Robustly extracting factual information from language models with diverse prompts
Benjamin Newman, Prafulla Kumar Choubey, and Nazneen Rajani. 2021 · 2021
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Refined commonsense knowledge from large-scale web contents
Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, and Gerhard Weikum. 2021 · 2021
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Learning how to ask: Querying lms with mixtures of soft prompts
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Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, and Gerhard Weikum. 2019 · 2019
Cited alongside, same era.
Atomic: An atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Multi-task feature learning for knowledge graph enhanced recommendation
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2019 · 2019
Cited alongside, same era.
Neurosymbolic reinforcement learning with formally verified exploration
Greg Anderson, Abhinav Verma, Isil Dillig, and Swarat Chaudhuri. 2020 · 2020
Cited alongside, same era.
Inducing relational knowledge from bert
Zied Bouraoui, José Camacho-Collados, and Steven Schockaert. 2020 · 2020
Cited alongside, same era.
How can we know what language models know?
Zhengbao Jiang, Frank F. Xu, J. Araki, and Graham Neubig. 2020 · 2020
Cited alongside, same era.
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Guanghui Qin and Jas’ Eisner. 2021 · 2021
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Structure-augmented text representation learning for efficient knowledge graph completion
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, and Yi Chang. 2021a · 2021
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Symbolic knowledge distillation: from general language models to commonsense models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, and Yejin Choi. 2021 · 2021
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Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study
Yunrong Yang, Zhidong Cao, Pengfei Zhao, Dajun Daniel Zeng, Qingpeng Zhang, and Yin Luo. 2021 · 2021
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Factual probing is [mask]: Learning vs. learning to recall
Zexuan Zhong, Dan Friedman, and Danqi Chen. 2021 · 2021
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A review on language models as knowledge bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona Diab, and Marjan Ghazvininejad. 2022 · 2022
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E-kar: A benchmark for rationalizing natural language analogical reasoning
Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, and Hao Zhou. 2022 · 2022
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Toward a ’Standard Model’ of Machine Learning
Zhiting Hu and Eric P. Xing. 2022 · 2022
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Maieutic prompting: Logically consistent reasoning with recursive explanations
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, and Yejin Choi. 2022 · 2022
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A knowledge graph to interpret clinical proteomics data
Alberto Santos, Ana R Colaço, Annelaura B Nielsen, Lili Niu, Maximilian Strauss, Philipp E Geyer, Fabian Coscia, Nicolai J Wewer Albrechtsen, Filip Mundt, Lars Juhl Jensen, et al. 2022 · 2022
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Self-supervised semantic-driven phoneme discovery for zero-resource speech recognition
Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, and Chang Yoo. 2022 · 2022
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Symbolic knowledge distillation: from general language models to commonsense models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, and Yejin Choi. 2022 · 2022
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Reasoning with language model is planning with world model
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu. 2023 · 2023
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